Expose internal stack introspection APIs as a statistical runtime analysis tool
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 77.2k
- Forks
- 36k
- PR merge metrics
- PR metrics pending
Description
Feature or enhancement
Implement a new high-frequency runtime observer that leverages the existing _remote_debugging module to collect detailed execution statistics from running Python processes. This tool enables non-intrusive observation of production applications by attaching to already-running processes without requiring any code modifications, restarts, or special startup flags. The observer can perform extremely high-frequency sampling of stack traces and interpreter state, providing detailed runtime execution analysis of live applications.
Linked PRs
- gh-135998
- gh-136777
- gh-138304
- gh-138715
- gh-138721
- gh-138875
- gh-138880
- gh-139364
- gh-139485
- gh-141666
- gh-141689
- gh-141719
- gh-146045
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the existing _remote_debugging module and the linked PRs listed in the issue, since they appear to contain the active implementation work. Determine which stack-introspection APIs and observer behavior are intended before estimating scope; the issue is complete only when the agreed runtime analysis tool can attach to running Python processes and collect the specified statistics without code changes or restarts.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- observability
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100